Top Tech Jobs & Startup Jobs in NYC, NY

Build, scale, and maintain cloud-native backend services and APIs using C#/.NET on Azure. Lead architecture, performance optimization, CI/CD, code reviews, mentor engineers, and collaborate with product, design, and frontend teams to deliver reliable, high-performance features.

Own a product line end-to-end: strategy, growth, retention, unit economics, and margin. Lead discovery, shape high-stakes bets, pitch leadership, and drive cross-functional execution. Partner with platform and Data/AI teams to build responsible AI workflows and scalable delivery while protecting engineering appetite and outcomes.

Lead and grow a remote Implementation team (5-7) to onboard SmartSites customers, oversee site builds/configuration/training, ensure timely project delivery and high customer satisfaction, coordinate cross-functional training, handle escalations, and support Customer Support during high volume periods.

As GTM Systems & Data Manager, you will architect data structures, manage technical talent, and operationalize AI-driven insights to enhance sales and marketing processes.

Principal individual-contributor responsible for technical leadership and architecture of a scalable, secure API-driven digital pharmacy platform. Own system design, performance, PostgreSQL optimization, AWS infrastructure, cross-squad mentoring, compliance (HIPAA/SOC2), and prototyping to de-risk platform initiatives.

Lead full-cycle technical recruiting for engineering and product teams: intake, sourcing, screening, interview coordination, offers, and onboarding. Build proactive pipelines, run intake meetings, partner with hiring managers on scorecards and interview loops, improve hiring processes and metrics, maintain ATS hygiene, and ensure an excellent candidate experience while driving hiring velocity.

The Global Vice President of Customer Success will lead the Customer Success organization globally, driving strategy, customer satisfaction, retention, and growth, while fostering a high-performing team culture.

Serve as the technical lead for Acceldata's Hadoop observability and open data platform in pre-sales: deliver demos, design solutions, run POCs, craft technical proposals/SOWs, collaborate with sales/product/engineering, and support closing deals while educating internal teams and producing technical documentation.

Lead data-driven growth marketing across paid, organic, lifecycle, referral, partnership, and conference channels. Build and optimize multi-channel campaigns, run A/B tests and funnel experiments, manage marketing automation and reporting, mentor team members, and collaborate with sales, product, and customer success to improve acquisition, conversion, and ROI.

Lead data-driven growth initiatives across paid, organic, lifecycle, referral, partnership, and event channels. Build and optimize multi-channel campaigns, run A/B tests, analyze funnel and attribution metrics, manage marketing automation and reporting, collaborate with sales/product/customer success, and mentor a growth team to scale customer acquisition and engagement.

Design intuitive, accessible web and mobile product experiences, evolve and maintain the design system, prototype and test solutions, translate user research and data into design decisions, collaborate with product, engineering and research, and integrate ADA/accessibility best practices throughout the process.

Lead and scale a global partner ecosystem to drive sourced and influenced revenue, owning partner strategy, P&L, organizational growth, partner lifecycle operations, executive relationships, GTM alignment, partner technology integrations, and strategic negotiations.

Lead new logo acquisition and expansion with CPGs, retailers, agencies, and platforms. Sell CPO campaigns, recipe shoppability, and content commerce. Build GTM motion, manage partner portfolio, work cross-functionally, and represent SideChef to senior stakeholders to drive revenue and scale.

Lead a small team to accelerate software engineering productivity across a global organization by improving developer workflows, tooling, testing, code review, documentation, and AI-enabled development practices. Identify bottlenecks, drive scalable engineering systems and reusable patterns, and measure productivity gains across polyglot teams and legacy platforms.

Lead a small engineering team to turn ambiguous opportunities into production software quickly and safely. Establish AI-first development, specification-driven practices, strong automated testing, CI/CD, observability, and production ownership while improving legacy systems and influencing enterprise engineering practices.

Build and run a centralized AI-enabled process re-engineering capability: diagnose current workflows, design AI-assisted solutions (retrieval, drafting, agents, orchestration), run controlled pilots with evaluation and human review, create reusable playbooks/governance, partner cross-functionally, manage vendors and TPMs, and deliver measurable business outcome improvements.